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All significance testing was two-sided (log-rank statistics and Wald statistics were used in univariate and multivariate analysis, respectively).
Survival curves were generated by Kaplan-Meier estimation method and compared by Log-rank (Mantel-Cox) or Cox proportional hazards tests in univariate or multivariate analysis, respectively.
The first and second axes of the mixed multivariate analysis respectively accounted for 17.3% and 10.8% of the variations among the variables.
All significance testing was two-sided, where log-rank statistics and Wald statistics were used for univariate and multivariate analysis, respectively.
We used EpiData Analysis (version 2.2.2.182; EpiData Association, Odense, Denmark) and STATA (version 12.1; STATA Corp., College Station, TX, USA) for univariate and multivariate analysis, respectively.
Chi square test (or Fisher's exact test) and logistic regression were performed in univariate and multivariate analysis, respectively, to determine the relationship between expression of biomarkers and pathologic response.
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Tables 5 and 6 demonstrate the results of univariate and multivariate survival analysis, respectively.
Unadjusted and adjusted odds ratios (ORs) for primary outcome measures were calculated by univariate and multivariate logistic regression analysis, respectively.
IPI and IPTCLP both proved to be independent prognostic factors of poor outcome in the Cox multivariate analysis (P=0.043 and P=0.029, respectively) (Supplementary Table 7).
CD9 and COX2 remained independently prognostic when accounting for the effect of other variables on multivariate analysis (P=0.009 and 0.007, respectively).
High IL-6 and IL-1 β levels were poor prognostic factors for overall survival in a multivariate analysis (P=0.011 and P=0.048, respectively).
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